Deep Learning on Hadoop

Our friends from Hortonworks will discuss and show hands-on examples of using Apache Hadoop, Apache Hive, Apache MXNet, TensorFlow and Apache NiFi for deep learning applications.

As part of the talk they will walk through an end to end pipeline using a TensorFlow NiFi processor, Apache NXNet Pre-Built Models, MXNet's New Model Server with Apache NiFi, executing MXNet and TensorFlow with Apache NiFi and running Apache MXNet on edge nodes utilizing Python and Apache MiniFi.

This talk is geared towards Data Engineers interested in the basics of Deep Learning with open source Apache tools in a Big Data environment.

We will walk through source code examples available in github and run the code live on an HDP cluster.

Tim Spann was a Senior Solutions Architect at AirisData working with Apache Spark and Machine Learning.

Please note that talk is in English.

The refreshment is being served from 5:30:-)